搜索结果: 46-60 共查到“工学 K-means”相关记录170条 . 查询时间(0.137 秒)
Investigation of Measuring Accuracy of Forest Area by Means of Airborne Laser Scanner
airborne laser scanner sinks global warming tree height measurement measuring accuracy
2015/3/10
It is an important subject to accurately measure forests that serve as sinks since the global warming is taken up as a serious problem in recent years. Tree height and so on have so far been measured ...
FOREST INVENTORY BY MEANS OF SATELLITE REMOTE SENSING AND LASER SCANNING
forest inventory forest attributes satellite imagery laser scanning stand-wise approach single tree segmentation
2015/2/4
In this paper forest inventory methods which are based on satellite remote sensing and laser-scanner data will be introduced.
It will be demonstrated in how far conventional terrestrial inventories a...
Performance analysis of EM-MPM and K-means clustering in 3D ultrasound breast image segmentation
segmentation EM-MPM ultrasound
2015/1/20
Mammographic density is an important risk factor for breast cancer, detecting and screening at an early stage could help save lives. To analyze breast density distribution, a good segmentation algorit...
Terrain Analysis and Accuracy Prediction by Means of the Fourier Transformation
Terrain Analysis Accuracy Prediction Means of the Fourier Transformation
2015/1/4
Terrain Analysis and Accuracy Prediction by Means of the Fourier Transformation.
TOPOGRAPHIC MAP GENERATION IN HIGH MOUNTAINOUS AREAS BY MEANS OF InSAR DATA
TOPOGRAPHIC MAP GENERATION HIGH MOUNTAINOUS AREAS InSAR DATA
2014/12/29
This paper examines to what extent a new approach to the production of maps can be taken using radar remote sensing in the cartography of mountainous areas. This will be analyzed with a test area of t...
REGISTRATION OF AIRBORNE LASER DATA TO SURFACES GENERATED BY PHOTOGRAMMETRIC MEANS
Surface Registration Laser Photogrammetry
2014/12/22
Laser altimetry has provided a source of elevation information, which is both accurate and spatially dense. This information is beneficial for the production of visible surface models, especially in a...
AN EFFICIENT INITIALIZATION METHOD FOR K-MEANS CLUSTERING OF HYPERSPECTRAL DATA
K-means Clustering Initialization methods Unmixing MVES Hyperspectral data
2014/12/1
K-means is definitely the most frequently used partitional clustering algorithm in the remote sensing community. Unfortunately due to its gradient decent nature, this algorithm is highly sensitive to ...
Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System
Cutaneous Leishmaniasis Data Mining Fuzz C Means Clustering Neuro-Fuzzy Systems
2014/12/1
Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can ...
Modes, Means and Measures: Adapting Sustainability Indicators to Assess Preservation Activity's Impact on Community Equity
preservation historic preservation sustainability social equity rehabilitation community indicator
2014/11/11
Preservation of and reinvestment in the built environment as a redevelopment tool has been used by cities and towns across the country, in many cases providing significant social, economic and environ...
Measurement and Verifiation - RetroCommissioning of a LEED Gold Rated Building Though Means of an Energy Model: Are Aggressive Energy Simulation Models Reliable?
Measurement and Verification Retro Commissioning LEED Gold Rated Building Means of an Energy Model Energy Simulation Models
2014/10/23
During the construction of the new 3 story, 25,000+ square foot police station, a decision was made to participate in the LEED program to ensure the building had low operating costs, reduced emissions...
Human Vision Pathology Diagnostics by Photogrammetrics Means
Human vision pathology Close-range Photogrammetry Anthropometric measurements Pathology diagnosis
2014/7/30
One of the reasons of such vision pathology as human stereoscopic vision capability dysfunction is an asymmetry of a human face. As a rule, such dysfunctions occur as early as in the babyhood, when di...
针对分布式BPEL引擎在云中的放置问题开展研究，提出了一种基于K-means的分布式BPEL引擎放置机制，该机制将BPEL引擎放置问题模型化为相关最优化数学模型，并且将该模型映射到K-means算法进行求解。该机制还讨论了算法在不同网络拓扑随机图、树形网络拓扑的应用。最后利用统计软件R进行了相关实验仿真，仿真结果显示该放置机制可优化服务调用所占用的带宽资源。
基于簇内不平衡度量的粗糙means 聚类算法
簇内不平衡度量 粗糙集 粗糙 means 聚类
2014/2/27
粗糙??-means 聚类算法是一种有效的处理聚类边界模糊问题的算法, 但大多数算法对簇的下近似集和边界中的对象使用统一的权值, 忽略了簇内对象之间的差异性. 针对这一问题提出一种新的改进算法, 通过对簇内的每个对象加入簇内不平衡度量, 以区分不同对象对簇的贡献程度, 使得聚类结果簇内更紧凑、簇间更疏远. 不同数据集的仿真实验结果表明, 所提出算法可以有效提高聚类结果的精度.
针对传统K-means算法初始聚类中心选择的随机性可能导致迭代次数增加、陷入局部最优和聚类结果不稳定现象的缺陷,提出一种基于隐含狄利克雷分布(LDA)主题概率模型的初始聚类中心选择算法。该算法选择蕴含在文本集中影响程度最大的前m个主题,并在这m个主题所在的维度上对文本集进行初步聚类,从而找到聚类中心,然后以这些聚类中心为初始聚类中心对文本集进行所有维度上的聚类,理论上保证了选择的初始聚类中心是基于...